activity
20232026
most citedMaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Seedance 2.0: Advancing Video Generation for World Complexity

Team Seedance, De Chen, Liyang Chen +168

Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…

cs.CV2025

LaverNet: Lightweight All-in-one Video Restoration via Selective Propagation

Haiyu Zhao, Yiwen Shan, Yuanbiao Gou +1

Recent studies have explored all-in-one video restoration, which handles multiple degradations with a unified model. However, these approaches still face two challenges when dealin…

cs.CV2025

Next-Scale Prediction: A Self-Supervised Approach for Real-World Image Denoising

Yiwen Shan, Haiyu Zhao, Peng Hu +2

Self-supervised real-world image denoising remains a fundamental challenge, arising from the antagonistic trade-off between decorrelating spatially structured noise and preserving…

cs.CV2024★ 3 cited

MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration

Boyun Li, Haiyu Zhao, Wenxin Wang +3

Recent advancements in Mamba have shown promising results in image restoration. These methods typically flatten 2D images into multiple distinct 1D sequences along rows and columns…

cs.CV2023

Test-Time Degradation Adaptation for Open-Set Image Restoration

Yuanbiao Gou, Haiyu Zhao, Boyun Li +2

In contrast to close-set scenarios that restore images from a predefined set of degradations, open-set image restoration aims to handle the unknown degradations that were unforesee…